{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pymysql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import jieba"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "import csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "from wordcloud import WordCloud"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from collections import Counter"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "db = pymysql.connect(host='localhost',port=3306,user='root',passwd='Wuqihuan19950903',db='jobspider',charset='utf8')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "cursor = db.cursor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "10000"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cursor.execute(\"select * from job_ai limit 10000\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "results = cursor.fetchall()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "f = open(\"job_ai.txt\",\"a+\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "for item in results:\n",
    "    f.writelines(item[10])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "fileai=open(\"job_ai.txt\",\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "seg_list = jieba.cut(fileai.read(),cut_all=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "counter = dict()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Building prefix dict from the default dictionary ...\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading model from cache /tmp/jieba.cache\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Loading model cost 1.809 seconds.\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "Prefix dict has been built succesfully.\n"
     ]
    }
   ],
   "source": [
    "for seg in seg_list:\n",
    "    counter[seg] = counter.get(seg, 1) + 1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "counter_sort = sorted(counter.items(),key=lambda value: value[1],reverse=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "c=open(\"jobai.csv\",\"a+\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "writer = csv.writer(c)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "writer.writerows(counter_sort)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "c.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "w=open(\"jobai.csv\",\"r\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "reader_csv = csv.reader(w)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "counter1 = {}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [],
   "source": [
    "for row in reader_csv:\n",
    "    counter1[row[0]] = counter1.get(row[0],int(row[1]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "wc = WordCloud(font_path=\"msyh.ttf\",max_words=100,height=600,width=1200).generate_from_frequencies(counter1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 1.0, 0.0, 1.0)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.axis(\"off\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.image.AxesImage at 0x7f4af5dc3a20>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.imshow(wc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x7f4af651f5c0>"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wc.to_file(\"image.png\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [],
   "source": [
    "w.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "f.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "cursor.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "db.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
